Manager, Process Excellence (India)

Overview

Lead strategic and operational transformation initiatives, including technology-enabled solutions, to improve operations across GCC locations. This hands-on role translates business problems into automation, AI, workflow, integration, and analytics solutions, and partners with Service Delivery, Technology and Global Shared Services teams.

What you'll do

• Build and lead a high-performing AI, Automation, and Transformation team, fostering innovation, accountability, collaboration, and continuous improvement.
• Provide guidance and support to Process Excellence team members on project execution, process analysis, documentation, and continuous improvement methodologies.
• Build organizational capability through training, knowledge-sharing, and adoption of process, quality, and transformation best practices.
• Promote a data-driven mindset and encourage teams to identify opportunities for operational improvement and business transformation.
• Establish and reinforce standards for process documentation, quality management, and knowledge management to ensure consistency and compliance.
• Partner with GCC and practice leaders to understand business priorities, surface high-value automation opportunities, and build an outcome-based transformation roadmap.
• Lead discovery workshops, process walkthroughs, and data analysis to identify manual effort, bottlenecks, rework, control gaps, and customer or team member pain points.
• Design, prototype, build, or lead the delivery of solutions using current technologies such as Microsoft Power Platform, AI agents, workflow automation, APIs, integrations, analytics, and low-code or pro-code services.
• Translate complex technical possibilities into clear business cases and delivery options, and communicate associated risks and decisions to leadership.
• Develop and execute adoption and change-management plans, including communications, role-based enablement, stakeholder alignment, and transition to business ownership.
• Lead executive stakeholder engagement and communicate progress, decisions, dependencies, risks, and realized benefits with clarity.
• Lead process excellence projects to deliver measurable improvements in productivity, quality, cycle time, and cost efficiency.
• Define, track, and report KPIs to evaluate the effectiveness of process improvements, QMS/DMS, automation, and AI initiatives.
• Develop dashboards and reporting mechanisms to monitor performance, trends, and business impact.
• Identify risks and implement mitigation strategies to ensure successful project execution and sustained outcomes.
• Conduct audits to ensure compliance with quality standards and governance requirements.
• Design and manage Process Knowledge Tests (PKTs) to assess capability gaps and drive continuous learning.
• Collaborate with technology teams to enhance system integration, governance, and knowledge management.
• Partner with technology and business teams to evaluate, implement, and scale AI and automation opportunities while ensuring appropriate governance, adoption, and measurable impact.
• Drive continuous improvement initiatives focused on quality enhancement, cycle time reduction, and productivity gains.
• Establish process excellence dashboards, scorecards, and reporting mechanisms to monitor project progress, efficiency gains, quality trends, adoption levels, and business impact.
• Manage and develop Automation, Transformation, or Process Excellence Analysts and project contributors.
• Lead cross-functional delivery teams and coordinate business, technology, risk, data, and change stakeholders.
• Set clear delivery expectations, review solution quality, and create accountability for adoption and realized business value.

What you'll need

• Bachelor's degree in a relevant field.
• At least eight years of experience in automation, digital transformation, AI, technology-enabled operations, consulting, shared services, or related roles.
• A demonstrable track record of personally building, deploying, or leading production automation and AI solutions, supported by examples of the technologies used and business outcomes achieved.
• Evidence of measurable transformation outcomes such as productivity or capacity gains, cycle-time reduction, cost avoidance, quality improvement, risk reduction, or improved client and employee experience.
• Hands-on, outcome-oriented approach to AI, automation, digital transformation, and operational problem-solving.
• Strong business acumen with the ability to connect technology choices to value, risk, feasibility, and adoption.
• Executive communication, influencing, negotiation, and cross-functional stakeholder management.
• Structured analytical thinking, data interpretation, business-case development, and KPI design.
• Change leadership and adoption discipline, including training, communications, operating-model transition, and reinforcement.
• Sound judgment on responsible AI, data governance, security, controls, and human-in-the-loop design.
• Microsoft Power Platform, including Power Automate, Power Apps, Power BI, and related governance capabilities.
• AI agents, prompt and evaluation practices, retrieval or knowledge integrations, and responsible AI controls.
• Workflow automation, RPA or task automation, APIs, system integrations, web services, and data pipelines.
• Analytics, dashboards, SQL or equivalent data skills, and value tracking.
• Solution documentation, source control or release practices, testing, monitoring, support transition, and access management.
• Proficiency with Microsoft 365 and collaboration tools.

Nice to have

• Lean Six Sigma or continuous-improvement experience where it supports automation and transformation delivery.
• Familiarity with cloud services, low-code and pro-code development patterns.

Details

• Location: Hyderabad, India (Atria office).
• Hybrid work model with a minimum of three days per week in the Hyderabad office.
• Standard 40+ hour workweek in a professional office environment.
• Supervisory responsibilities for Automation, Transformation, or Process Excellence Analysts and project contributors.